A Style-Based Generator Architecture for Generative Adversarial Networks

Tero Karras, Samuli Laine, Timo Aila · CVPR / arXiv · 2019 · art-history · record karras2019-stylegan
tag layer · index · concepts · authors · עברית
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How to read this page. The article itself is not reproduced here — this paper is not cleared for redistribution, so what follows is the tag layer alone. The evidence sentences are withheld with the article. The table at the foot lists every tag the record carries; each row names the facet it belongs to, and the whose words column says whether the tag records the paper's own wording or the tagger's sentence about the paper. Every tag links to each other paper in the corpus carrying it. The machine-readable edition of the same thing is the TEI file beside this one, where the tags live in standOff, and the article is at its publisher via the link below. When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.
Other fields define these differently the same word, defined another way in another discipline
deep learning 11 fields · standard-deviation 3 fields

Tags on this paper

Every tag the record carries, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 10 concept tags on this paper, 6 are grounded in a quoted sentence.
generative adversarial network image synthesis style transfer deep learning style spatially invariant statistics disentanglement perceptual path length linear separability coarse spatial resolutions each style controls exactly one convolution: AdaIN normalises the channel to zero mean and unit variance first, so the incoming style's scale and bias do not depend on the previous statistics and are overridden by the next AdaIN style localisation is trained for, not only architected: a percentage of images are generated from two latent codes with a crossover point, which stops the network assuming adjacent styles are correlated stochastic detail is supplied by the architecture: per-pixel noise is added after each convolution the division of labour between style and noise is enforced by the discriminator rather than by design: using noise for a global property would produce spatially inconsistent decisions and be penalised the intermediate latent space is defined by what it is NOT required to do - it need not follow the training data's density, which is the constraint the paper blames for entanglement in the input space the path length is defined as a limit under infinitely fine subdivision and computed as an approximation with a small finite epsilon instead separability is measured without an encoder: auxiliary attribute classifiers label generated images, the least confident half is discarded, and a linear SVM is fitted per attribute on the latent-space points generator latent disentangle images synthesis interpolation network AdaIN adaptive instance normalization (AdaIN) FFHQ FID mean average of standard-deviation Standard deviation system-or-tool-building

Legend

relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
conceptconceptsan idea the paper works with, quoted where the paper uses it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
controlcontrolsan experiment run to eliminate a rival explanation
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
phenomenonphenomenonthe effect or regularity under study
sensesensesa distinct use of a term, quoted where the paper fixes it
transfertransfersa method or concept carried in from another field

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://arxiv.org/abs/1812.04948. The reading view exists for the papers whose licence permits it.

Every tag on this page

claim_relations 4 · claim_type 1 · concept_edges 1 · concepts 6 · content_tags 9 · controls 1 · limitations 9 · mechanisms 7 · method 1 · phenomenon 1 · senses 5 · transfers 1

Relations on this page carry a quotation for the claim. Where a relation was separately evidenced — and so tested against the vocabulary for its type — the row says so; none of 1 relation here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
claim_typemethod
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claim_typethe paper's words
phenomenonlatent-space disentanglement in GAN image synthesis
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phenomenonthe paper's words
methodsystem-or-tool-building
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methodthe paper's words
mechanismsmechanisms
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mechanisms[0]0.9the tagger's words
mechanismsmechanisms
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
mechanisms[1]0.9the tagger's words
mechanismsthe paper's reason - that a traditional generator must otherwise invent spatially-varying pseudorandom numbers from earlier activations - is the preceding paragraph, not this span
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mechanisms[2]0.9the tagger's words
mechanismsmechanisms
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
mechanisms[3]0.9the tagger's words
mechanismsmechanisms
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
mechanisms[4]0.9the tagger's words
mechanismsthe second adjustment - dividing by epsilon squared because the perceptual distance is quadratic - is a separate sentence far down the section; a span reaching it crosses a footnote, Table 3 and a figure caption
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mechanisms[5]0.9the tagger's words
mechanismsthe conditional entropy and its exponentiation into the final score are described in the sentences after this span
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mechanisms[6]0.9the tagger's words
limitationsthe input latent space, constrained to follow the training-data density, has some unavoidable entanglement
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what this limits: any disentanglement claim about the input latent space: THE INPUT LATENT SPACE MUST FOLLOW THE PROBABILITY DENSITY OF THE TRAINING DATA, AND WE ARGUE THAT THIS LEADS TO SOME DEGREE OF UNAVOIDABLE ENTANGLEMENT
limitations[0]the tagger's words
limitationsThe perceptual path length measurement is admitted to be biased in favour of the input latent space Z.
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what this limits: the perceptual path length comparison, biased against the paper's own conclusion: THIS MEASUREMENT IS IN FACT SLIGHTLY BIASED IN FAVOR OF THE INPUT LATENT SPACE Z
limitations[1]the tagger's words
limitationsContinued FID improvement during training comes at the cost of a more entangled representation (rising path lengths).
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what this limits: any use of FID as the training objective: THE SLOWLY RISING PATH LENGTHS INDICATE THAT THE IMPROVEMENTS IN FID COME AT THE COST OF A MORE ENTANGLED REPRESENTATION
limitations[2]the tagger's words
limitationsThe new FFHQ face dataset was crawled from Flickr and therefore inherits that site's biases.
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what this limits: every result and every model trained on FFHQ: the images were crawled from Flickr, THUS INHERITING ALL THE BIASES OF THAT WEBSITE, then automatically aligned and cropped
limitations[3]the tagger's words
limitationsThe central term has no agreed definition and the paper proceeds on a shared goal instead.
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what this limits: any disentanglement claim made here: the paper states there are various definitions of disentanglement and adopts a common goal - a latent space of linear subspaces each controlling one factor of variation - rather than one of them
limitations[4]1.0the tagger's words
limitationsThe two metrics reported are new because the existing ones cannot be run here, so the numbers compare to nobody.
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what this limits: the disentanglement figures given here: the authors state the previously proposed metrics require an encoder network mapping images to latent codes, which this architecture does not have, so the two metrics used are new ones of their own
limitations[5]1.0the tagger's words
limitationsThe perceptual distance the headline metric is built on is another network's embedding, fitted to human ratings.
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what this limits: the perceptual path length reported here: it is built on a pairwise image distance computed as a weighted difference between two VGG16 embeddings, with the weights fitted so the metric agrees with human perceptual similarity judgments
limitations[6]1.0the tagger's words
limitationsThe mechanism claimed for the improvement is posited rather than shown.
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what this limits: the explanation offered for why this generator disentangles: the authors posit that there is pressure on the generator because generating realistic images should be easier from a disentangled representation than from an entangled one
limitations[7]1.0the tagger's words
limitationsWhat the paper controls under the name 'style' includes the pose and the shape of the face.
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what this limits: any reading of this model's 'style' as a manner of depiction: copying the coarse-resolution styles transfers pose, general hair style, face shape and eyeglasses, which are properties of the subject rather than of the manner
limitations[8]1.0the tagger's words
transfersthe style-transfer idea of separating content from style, taken from that literature and built into the generator architecture so that style is injected at each convolution layer - the network is named after it
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
transfers[0]0.85the tagger's words
controlsan ablation table beginning from a Progressive GAN baseline, with each row adding one change to the row above
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eliminates: attributing the improvement to the architecture as a whole - a table where every row differs from the previous one by a single change is what makes any single change attributable · outcome (stated by the tagger, no quotation): held
controls[0]0.85the tagger's words
conceptsstyle
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
also in: style
concepts[4]the paper's words
conceptsspatially invariant statistics
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
concepts[5]the paper's words
conceptsdisentanglement
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
concepts[6]the paper's words
conceptsperceptual path length
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
concepts[7]the paper's words
conceptslinear separability
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
concepts[8]the paper's words
conceptscoarse spatial resolutions
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
concepts[9]the paper's words
senses'style' - REUSED BY THE AUTHORS' OWN DECISION, FOR ARCHITECTURAL RESEMBLANCE: they say plainly that they choose to reuse the word for the vector y because similar network architectures are already used in feedforward style transfer and image-to-image translation, so the word marks a family of architectures rather than a property of a picture
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
senses[0]1.0the tagger's words
sensesstyle, once more removed - AS SPATIALLY INVARIANT STATISTICS: the paper's warrant is the style transfer literature's finding that spatially invariant statistics encode style while spatially varying features encode the instance, which is the same move gatys2015 made with a Gram matrix
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
senses[1]1.0the tagger's words
sensesdisentanglement - A GOAL STANDING IN FOR A DEFINITION: the paper records that the literature holds various definitions and adopts the shared aim of a latent space of linear subspaces, then measures that aim with two metrics of its own devising
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
senses[2]1.0the tagger's words
sensesstyle AT COARSE RESOLUTION - POSE, FACE SHAPE AND EYEGLASSES: the styles copied from the coarse spatial resolutions carry high-level aspects of the subject itself, so at this level the word ranges over what the picture is OF and not only how it looks
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
senses[3]1.0the tagger's words
sensesstyle ON NON-FACE DATASETS - CAMERA VIEWPOINT AND CHOICE OF FURNITURE: in bedrooms the coarse styles control where the camera is and the middle styles select which furniture appears, which an art historian would call composition and subject matter rather than style
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
senses[4]1.0the tagger's words
claim_relationsbuilds-on → style transfer literature
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
claim_relations[0]the tagger's words
claim_relationsbuilds-on → Progressive GAN (Karras et al.)
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
claim_relations[1]the tagger's words
claim_relationsbuilds-on → the Progressive GAN setup of Karras et al. [30]
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
claim_relations[2]the tagger's words
claim_relationsextends → the parallel self-modulation work of Chen et al. [6]
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
claim_relations[3]the tagger's words
concept_edgesstyle —operationalised-as→ spatially invariant statistics
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
strength of the relation: 1
concept_edges[0]the tagger's words
content_tags50,000 — images used to compute the FID metric
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
content_tags.quantities[0]the tagger's words
content_tags1024×1024 — output resolution (progressive from 4x4 to 1024x1024)
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content_tags.quantities[1]the tagger's words
content_tagsThe generator learns, without supervision, to separate high-level attributes such as pose and identity from stochastic variation such as freckles and hair, and allows intuitive, scale-specific control of synthesis.
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about this quote: QUOTE REPAIRED: the extractor split a hyphen-space and the quote was recorded faithfully with the damage in it, which made it unanchorable. The repaired string is an EXACT SUBSTRING of the staged text - that is why it was accepted, not because a rule produced it. The text as originally recorded is kept in evidence as extracted.
content_tags.findings[0]the tagger's words
content_tagsThe new generator improves on the state of the art in traditional distribution-quality metrics, interpolates demonstrably better, and better disentangles the latent factors of variation.
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about this quote: QUOTE REPAIRED: the extractor split a hyphen-space and the quote was recorded faithfully with the damage in it, which made it unanchorable. The repaired string is an EXACT SUBSTRING of the staged text - that is why it was accepted, not because a rule produced it. The text as originally recorded is kept in evidence as extracted.
content_tags.findings[1]the tagger's words
content_tagsFID
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about this quote: QUOTE RECOVERED FROM THE PAPER'S OWN CHARACTERS. The recorded quote was LETTERS-ONLY IDENTICAL to this stretch of the staged text but not an exact substring of it - spaces, hyphens, ligature glyphs or mathematical operators differed, so it could never anchor. This is the file's own text between the same two letters: not produced by a rule about the damage, copied out of the file. Round-trip checked (the recovered span is letters-only equal to the original) and length-checked. The text as originally recorded is kept in evidence as extracted.
also in: FID
content_tags.variables[1]the tagger's words
content_tagsadaptive instance normalization (AdaIN)
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about this quote: QUOTE REPAIRED: the extractor split a hyphen-space and the quote was recorded faithfully with the damage in it, which made it unanchorable. The repaired string is an EXACT SUBSTRING of the staged text - that is why it was accepted, not because a rule produced it. The text as originally recorded is kept in evidence as extracted.
content_tags.definitions[0]the tagger's words
content_tagsEVIDENCE CORRECTED (RE-GROUNDED) · FFHQ
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EVIDENCE CORRECTED: RE-GROUNDED. The published string was not verbatim in EITHER copy of the paper. A quote field promises the author's words; this held 'a new, highly…' - which welds the abstract's phrasing 2,456 characters earlier to the introduction's parenthetical. The introduction states both in one sentence and that is what is quoted now.
also in: FFHQ
content_tags.definitions[1]the tagger's words
content_tagsmean
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about this quote: QUOTE REPAIRED: the extractor split a hyphen-space and the quote was recorded faithfully with the damage in it, which made it unanchorable. The repaired string is an EXACT SUBSTRING of the staged text - that is why it was accepted, not because a rule produced it. The text as originally recorded is kept in evidence as extracted.
also in: mean
content_tags.statistics[1]the tagger's words
content_tagsstandard-deviation
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content_tags.statistics[2]the tagger's words

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